Background And Purpose: Cognitive impairments have been reported in older adults with type 2 diabetes (T2DM), which subsequently increases the risk of falling. However, the relationship between specific cognitive processes and falls has not been reported. Therefore, the purpose of this study was to describe the contribution of cognitive function to falls in older adults with T2DM and to describe any differences by age group.
Methods: A cross-sectional analysis was conducted of 1171 older adult respondents with T2DM from the 2010 wave of the Health and Retirement Study. Group assignment was based on age: younger group 65 to 74 years (N = 662) or older group (N = 509). Groupwise comparisons of demographic, cognitive, and mobility variables were completed, followed by logistic regression analyses to examine the contribution of specific cognitive processes to falls for the sample and then by group after controlling for demographic and mobility-related variables.
Results: Significant differences existed between groups in demographic, cognitive, and mobility variables and falls. Executive function was consistently identified as a predictor of falls in the whole sample (odds ratio [OR] = 1.06; 95% CI, 1.02-1.09) and within groups: younger group (OR = 1.06; 95% CI, 1.01-1.11) and older group (OR = 1.07; 95% CI, 1.01-1.13), while delayed recall was a much stronger predictor of falls in the older group (OR = 1.28; 95% CI, 1.03-1.59). Orientation and immediate recall were not predictors of falls.
Conclusions: Executive function and delayed recall, 2 cognitive domains reported to influence glycemic control and disease management in those with T2DM, are associated with an increased fall risk and should be included in the assessment of fall risk in this population.
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http://dx.doi.org/10.1519/JPT.0000000000000209 | DOI Listing |
During their daily lives humans are often confronted with sustained cognitive activities (SCA) leading to state fatigue, a psychobiological state characterized by a decrease in cognitive and/or motor performance and/or an increase in perception of fatigue. It was recently shown that performing SCA can impair overground dual-task gait performance in older adults, but it is currently unknown whether there is a task- and/or age-specific modulation in gait performance during treadmill walking. Therefore, the effect of a SCA on single- and dual-task treadmill walking performance was investigated in young and old adults.
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CH Saint Joseph et Saint Luc. Lyon, France.
Due to the aging population, focusing on healthy aging has become a global priority. Cardiovascular diseases (CVDs) and frailty, characterized by increased vulnerability to adverse stress and health events, interact synergistically in advanced age. In older adults, hip fractures are a frequent dramatic "life-transition" event.
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Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy.
Background: In recent years, sodium-glucose co-transporter 2 inhibitors (SGLT2i) have emerged as a valuable treatment for type 2 diabetes (T2D) and heart failure. Despite these medications seeming to be safe in older people, the literature about SGLT2i and frailty is still limited. This study aims to evaluate whether SGLT2i use is associated with increased survival in older adults and if frailty can affect the findings.
View Article and Find Full Text PDFInj Epidemiol
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Injury Prevention Research Center, University of Iowa, 145 N Riverside Dr., Iowa City, IA, 52242, USA.
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Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Background: Existing fall risk assessment tools in clinical settings often lack accuracy. Although an increasing number of fall risk prediction models have been developed for hospitalized older patients in recent years, it remains unclear how useful these models are for clinical practice and future research.
Objectives: To systematically review published studies of fall risk prediction models for hospitalized older adults.
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